Characterizing attentive behavior in intelligent environments

Durães, Dalila; Carneiro, Davide; Jiménez, Amparo; Nováis, Paulo

doi:10.1016/j.neucom.2017.05.091

Cited by 10 publications

(5 citation statements)

References 21 publications

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“…According to the literature [ 2 ], there is a connection between emotion and learning process. Although, this process is not simple or direct, it is accepted that positive and negative emotional states can cause different kinds of thinking and can influence the learning perspective.…”

Section: Introductionmentioning

confidence: 99%

Emotion Analysis in Distance Learning

Durães

Toala

Nováis

2021

Educating Engineers for Future Industrial Revolutions

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The COVID-19 pandemic has changed education forever because schools, universities, teachers, and students had to adapt to distance learning. Multiple differences are identified with online learning compared to face-to-face education. First, students must be more responsible. Second, users’ familiarity with using computers varies significantly. Third, the traditional interaction between teacher, student and content are made more complicated by the introduction of technology. The application of new tools related to the student, teacher, content, technology, software, and communication results in the improvement of teaching methods in online learning. When new tools are applied and there is an improvement in the results in online education, the student, teacher, and educational institutions benefit from it. Emotion plays an important role in the knowledge, acquisition, and decision process of an individual. Consequently, they directly influence perception, learning process, and the way people communicate. There is also significant evidence that rational learning in humans is dependent on emotions. In this paper, we presented a solution with a new Intelligent Tutoring Framework, that analyzed emotions in a non-intrusive and non-invasive way.

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Section: Introductionmentioning

confidence: 99%

Emotion Analysis in Distance Learning

Durães

Toala

Nováis

2021

Educating Engineers for Future Industrial Revolutions

Self Cite

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“…We have implemented a hybrid ANN to predict the learning style of the students, which the system received the data from biometrics behavior and used tasks. It is a hybrid prediction method based on MLP and SVM classifier that uses these sources of knowledge and provide the predictions of learning styles for which the system can generate more arguments to justify their suitability (Durães D. , Carneiro, Jimenez, & Novais, 2018).…”

Section: Resultsmentioning

confidence: 99%

“…Learning style is defined by many useful definitions and related ideas. Some examples of these definitions are (Pritchard, 2009), (Durães D. , Carneiro, Jimenez, & Novais, 2018):  Habits, strategies, or regular mental behaviors concerning learning, particularly deliberate educational learning, which an individual displays.…”

Section: Learning Stylesmentioning

confidence: 99%

“…When teacher's methodologies do not support a specific learning style, a student will find it more difficult to learn and acquire knowledge. When students are doing learning activities using new technologies, it is extremely important that teacher has feedback from the students' work in order to detect potential learning problems at an early stage so he/she can choose the appropriate teaching methods (Durães D. , Carneiro, Jimenez, & Novais, 2018), (Morgan, Baker, & Alabama, 2013).…”

Section: Learning Stylesmentioning

confidence: 99%

“…The learning style study is very controversial because some authors think that the many existing theories are very close and their scientific support is lacking. For these authors, the learning style is not a straight concept, which means, that if a person prefers or feels more comfortable with the perception style, this not means that tomorrow the same person will not prefer an understanding style to learn (Durães D. , Carneiro, Jimenez, & Novais, 2018).…”

Section: Learning Stylesmentioning

confidence: 99%

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Attentiveness and Engagement in Learning Activities

Durães¹

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The Human being is currently under increased demand for attention, a result of a society that is moving faster. In most of the so-called developed countries, workers have nowadays increasingly busier activities. This makes them stretch their limits to find time for children, sports activities, and other. This necessary extra time is frequently obtained at the expense of shorter periods of sleep or rest. Although this effect may not be readily visible, they may have consequences at many other levels than health, including emotions, results, attention and social behavior, among others. For these reasons, school and systems of e-learning must create environments that can involve students and capture their attention and engagement. Advances in computers and wireless technologies have also had an impact on the educational system, thus generating a new approach for Ambient Intelligent Systems (AmI systems). The rapid development of these technologies combined with the access to content in a wide variety of settings, allows learners to experience new learning situations beyond the school's walls. The need for qualified people is growing exponentially, requiring limited resources allocated to education/training to be used most efficiently. Learning and elearning systems can allow some flexibility for students who have complicated schedules and obligations. However, some problems can occur: (1) relying on learning theories, it is crucial to improve the learning process and mitigate the issues

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